danaugrs / huskarl
Deep Reinforcement Learning Framework + Algorithms
☆414Updated 2 years ago
Alternatives and similar repositories for huskarl:
Users that are interested in huskarl are comparing it to the libraries listed below
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆375Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,518Updated last year
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,002Updated 6 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆369Updated 4 years ago
- A PyTorch Platform for Distributed RL☆747Updated 3 years ago
- Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.☆557Updated 4 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆816Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,166Updated 2 years ago
- Evolution Strategies Tool☆948Updated 2 years ago
- RLgraph: Modular computation graphs for deep reinforcement learning☆319Updated 5 years ago
- Code repository for the Animal AI Olympics competition☆577Updated 2 years ago
- A fast Evolution Strategy implementation in Python☆274Updated 4 years ago
- A PyTorch library for building deep reinforcement learning agents.☆652Updated last year
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆444Updated 5 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆966Updated 6 years ago
- [RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering☆374Updated 2 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆611Updated last year
- Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab☆488Updated 4 years ago
- Code for the paper "Exploration by Random Network Distillation"☆894Updated 4 years ago
- Deep Neuroevolution☆1,644Updated last year
- Velocity in deep-learning research☆277Updated 2 years ago
- ☆556Updated 2 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆814Updated 3 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆562Updated 2 years ago
- An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf☆282Updated 2 years ago
- An implementation of the Augmented Random Search algorithm☆422Updated 3 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,277Updated 2 months ago
- Structural implementation of RL key algorithms☆512Updated 2 years ago
- TensorFlow2 Reinforcement Learning☆473Updated 3 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago